Bayesian Model Selection for Capturing Closure Models in Nonlinear Dynamics
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Khalil, Mohammad↗
SEARCH · Engineering Papers
Results for “Closure”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Trustworthy and Scalable Data-Driven Closure Models
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Neal, Kyle Daniel↗
Development of a Helical Closure for Radioactive Material Shipping Packages
Radioactive Material (RAM) Packagings Used to transport radioactive material • Weapons components • Medical isotopes • Spent nuclear fuel • Etc. • Packages must adhere to 10 CFR 71 which drive to NUREGs, ASME codes, etc. • Transport Index (A2 values) determine if a package is Type A, Type AF, Type B, Type B(U)F
Housley, William M. [Savannah River National Labor↗
Implementation of Unmanned Aircraft Systems (UAS) for Waste Tank Closure in the Savannah River Site
Savannah River Site is a restricted airspace • Required to have NNSA-SRFO approved “flight program” to procure and operate UAS on site • SRMC UAS Program is restricted to indoor flights only (i.e. not within FAA governed airspace).
Murphy, Lucas D.↗
Scalable, Trustworthy, Agile, Goal-oriented, Efficient, and Data-assimilated Data-Driven Closure Models (STAGED DDCMs)
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Neal, Kyle Daniel↗
MACHINE LEARNING DATA-DRIVEN CLOSURE MODELS
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Schafer, Toryn↗
Framing camera approach for dynamic hole closure experiments
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Farfan, Bernardo G↗
Trustworthy and Scalable Data-Driven Closure Models
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Portone, Teresa [Sandia National Laboratories (SNL↗
Modelling Gap Closure within Vaporizing Transmission Lines of Pulsed Power Machines Using PIC-DSMC
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Kirk, Grace↗
Robust Data-Driven Turbulence Modeling for RANS Closures Using a SciML Approach for Validation
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Balakrishnan, Uma↗
SciML Credibility for Turbulence Closures
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Balakrishnan, Uma [Sandia National Laboratories (S↗
Independent Evaluation and Verification of Data-Driven RANS Closures in Turbulence Modeling
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Balakrishnan, Uma [Sandia National Laboratories (S↗
Machine Learning Data-Driven Closure Models
Our collaborators at Texas A&M will be presenting this work.
Schafer, Toryn [Texas A&M University]↗
Enabling Data-Driven Closure Models for Closed-Box Simulation Models
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Neal, Kyle Daniel [Sandia National Laboratories (S↗
Data-Driven Closure Modeling in Sparsely Observed Dynamical Systems
Our collaborators at Texas A&M will be presenting this work.
Drennan, Daniel [Texas A&M University]↗
Investigating the physical origins of anomalous, low-voltage self-closure in spark gap switches
Presentation at PPPS 2025, Berlin, Germany
Steiner, Adam Michael [Sandia National Laboratorie↗
Enhancing Turbulence Modeling for RANS Closures through Explainable Machine Learning Using SHAP Analysis
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Balakrishnan, Uma [Sandia National Laboratories (S↗
STAGED DDCM: A Framework for Closure Modeling through Data Assimilation and Machine Learning
Presentation video for ML/DL workshop
Bandy, Rileigh Jade [Sandia National Laboratories ↗